Zidu Yin

Influence propagation can dramatically enhance link prediction accuracy in multi-relational graphs, as demonstrated by the IGNP framework's superior performance over traditional methods.

Boundary-region entanglement is a critical bottleneck for GNNs, and our adaptive approach boosts classification accuracy by over 3% while maintaining model stability.